Diffusion of Innovations: How Adoption of New Technology Spreads in Society

  • Chapter
  • First Online:
Information, Knowledge, and Technology for Teaching and Research in Africa

Abstract

This chapter sought to explore and explicate what the Diffusion of Innovations Theory is about. In addition, the chapter discusses the characteristics of innovators, the five-step process that an individual goes through when adopting a new idea or product, five adopter categories, the relevance of the theory to the LIS field, and concludes with the criticism of the theory. It cannot be denied that human beings do not routinely adopt new ideas or products. They make a conscious decision of whether to adopt or not. The Diffusion of Innovations theory outlines five characteristics that determine people’s adoption of a new idea or innovation, namely: relative advantage; compatibility; complexity; trialability; and observability. This theory is used to explain how an idea or object is spread and adopted by many different individuals, be it in an organizational or societal context. The chapter presents the basic characteristics of individuals in a population and places them in one of the five adopter categories to determine the most effective way to appeal to that specific audience. Each category explains how a group of individuals assesses a new idea or technology and provides a five-step process that an individual goes through when adopting something new, namely: awareness, interest, evaluation, trial and adoption. Moreover, the chapter discusses how the Diffusion of Innovations theory describes the pattern and speed at which new ideas, practices, or products spread through a population. Thus, it groups individuals into five categories of how they adopt new ideas or technology, namely: innovators, early adopters, early majority, late majority, and laggards. The chapter also argues that the Diffusion of Innovations theory is relevant to the LIS field. It further argues that in general, the LIS field has adopted numerous innovations to automate a wide range of administrative and technical processes, build databases, and networks and provide better services to library users. Therefore, the diffusion and adoption of technology have become imperative for the efficient management of modern libraries and LIS as a field in general. The chapter concludes with a criticism of the theory.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 34.23
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
EUR 42.79
Price includes VAT (Germany)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Ali, M., Raza, S. A., Puah, C. H., & Amin, H. (2019). Consumer acceptance toward takaful in Pakistan: An application of diffusion of innovation theory. International Journal of Emerging Markets, 12(1), 33–56.

    Google Scholar 

  • Bayer, J., & Melone, N. (1989). A critique of diffusion theory as a managerial framework for understanding the adoption of software engineering innovations. Journal of Systems and Software, 9(2), 161–166.

    Article  Google Scholar 

  • Bharadwaj, S., & Deka, S. (2021, December). Behavioural intention towards cryptocurrency investment: An integration of Rogers' diffusion of innovation theory and the technology acceptance model. In Forum Scientiae Oeconomia (Vol. 9, No. 4, pp. 137–159).

    Google Scholar 

  • Bhatti, B. M., Mubarak, S., & Nagalingam, S. (2021). Information security implications of using NLP in IT outsourcing: A Diffusion of innovation theory perspective. Automated Software Engineering, 28(2), 1–29.

    Article  Google Scholar 

  • Call, D. R., & Herber, D. R. (2022). Applicability of the diffusion of innovation theory to accelerate model-based systems engineering adoption. Systems Engineering, 12(1), 12–23.

    Google Scholar 

  • Carreiro, H., & Oliveira, T. (2019). Impact of transformational leadership on the diffusion of innovation in firms: Application to mobile cloud computing. Computers in Industry, 107(1), 104–113.

    Article  Google Scholar 

  • Downs, G., & Mohr, L. (1976). Conceptual issues in the study of innovation. Administrative Science Quarterly, 21(1), 700–714.

    Article  Google Scholar 

  • Goh, E., & Sigala, M. (2020). Integrating information & communication technologies (ICT) into classroom instruction: Teaching tips for hospitality educators from a diffusion of innovation approach. Journal of Teaching in Travel & Tourism, 20(2), 156–165.

    Article  Google Scholar 

  • Goss, K. F. (1979). Consequences of diffusion of innovations to the rural population. Rural Sociology, 44(1), 754–772.

    Google Scholar 

  • Greenhalgh, T., Robert, G., Macfarlane, F., Bate, P., & Kyriakidou, O. (2004). Diffusion of innovations in service organizations: Systematic review and recommendations. The Milbank Quarterly, 82(4), 581–629.

    Article  Google Scholar 

  • Kaminski, J. (2011). Diffusion of innovation theory. Canadian Journal of Nursing Informatics, 6(2), 1–6.

    Google Scholar 

  • Karampour, B., Mohamed, S., Karampour, H., & Lupica Spagnolo, S. (2021). Formulating a strategic plan for BIM diffusion within the AEC Italian industry: The application of diffusion of innovation theory.

    Google Scholar 

  • Lund, B. D., Omame, I., Tijani, S., & Agbaji, D. (2020). Perceptions toward artificial intelligence among academic library employees and alignment with the diffusion of innovations’ adopter categories. College & Research Libraries, 81(5), 865–880.

    Article  Google Scholar 

  • Menzli, L. J., Smirani, L. K., Boulahia, J. A., & Hadjouni, M. (2022). Investigation of open educational resources adoption in higher education using Rogers’ diffusion of innovation theory. Heliyon, 8(7), e09885.

    Article  Google Scholar 

  • Min, S., So, K. K. F., & Jeong, M. (2021). Consumer adoption of the Uber mobile application: Insights from a diffusion of innovation theory and technology acceptance model. In Future of Tourism Marketing (pp. 2–15). Routledge.

    Google Scholar 

  • Nordhoff, S., Malmsten, V., van Arem, B., Liu, P., & Happee, R. (2021). A structural equation modelling approach for the acceptance of driverless automated shuttles based on constructs from the unified theory of acceptance and use of technology and the diffusion of innovation theory. Transportation Research Part f: Traffic Psychology and Behaviour, 78(1), 58–73.

    Article  Google Scholar 

  • Pashootanizadeh, M., & Heidary, L. (2022). Determining the factors affecting the acceptance of social cataloging application and its adoption rate based on Rogersʼ diffusion of innovation theory at the public libraries of Chaharmahal and Bakhtiari province. Research on Information Science and Public Libraries, 28(4), 400–417.

    Google Scholar 

  • Rogers, E. (1958). Categorizing the adopters of agricultural practices. Rural Sociology, 23(1), 345–354.

    Google Scholar 

  • Rogers, E. M. (1962). Diffusion of innovations (1st ed.). Free Press.

    Google Scholar 

  • Rogers, E. (1983). Diffusion of innovations (3rd ed.). Free Press.

    Google Scholar 

  • Rogers, E. (1988). The intellectual foundation and history of the agricultural extension model. Knowledge, 9(2), 492–510.

    Article  Google Scholar 

  • Rogers, E. (1995). Diffusion of innovations (4th ed.). Free Press.

    Google Scholar 

  • Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

    Google Scholar 

  • Rogers, E. M. (2004). A prospective and retrospective look at the diffusion model. Journal of Health Communication, 9(S1), 13–19.

    Article  Google Scholar 

  • Rogers, E., & Shoemaker, F. (1971). Communication of innovations: A cross-cultural approach (2nd ed.). Free Press.

    Google Scholar 

  • Rogers, E. M., Singhal, A., & Quinlan, M. M. (2014). Diffusion of innovations. In An integrated approach to communication theory and research (pp. 432–448). Routledge.

    Google Scholar 

  • Ruttan, V. (1996). What happened to technology adoption diffusion research? Sociologia Ruralis, 36(1), 51–73.

    Article  Google Scholar 

  • Sartipi, F. (2020). Diffusion of innovation theory in the realm of environmental construction. Journal of Construction Materials, 1(4), 2–4.

    Article  Google Scholar 

  • Scott, S. D., Plotnikoff, R. C., Karunamuni, N., Bize, R., & Rodgers, W. (2008). Factors influencing the adoption of an innovation: An examination of the uptake of the Canadian Heart Health Kit (HHK). Implementation Science, 3(1), 1–8.

    Article  Google Scholar 

  • Van den Ban, A. W., & Hawkins, H. S. (1998). Agricultural extension (2nd ed.). Blackwell Science Ltd.

    Google Scholar 

  • Vargo, S. L., Akaka, M. A., & Wieland, H. (2020). Rethinking the process of diffusion in innovation: A service-ecosystems and institutional perspective. Journal of Business Research, 116(1), 526–534.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Blessing Mbatha .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Mbatha, B. (2024). Diffusion of Innovations: How Adoption of New Technology Spreads in Society. In: Ocholla, D., Onyancha, O.B., Adesina, A.O. (eds) Information, Knowledge, and Technology for Teaching and Research in Africa. Synthesis Lectures on Information Concepts, Retrieval, and Services. Springer, Cham. https://doi.org/10.1007/978-3-031-60267-2_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-60267-2_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-60266-5

  • Online ISBN: 978-3-031-60267-2

  • eBook Packages: Synthesis Collection of Technology (R0)

Publish with us

Policies and ethics

Navigation